Vehicular communication systems

About: Vehicular communication systems is a research topic. Over the lifetime, 2532 publications have been published within this topic receiving 64775 citations. The topic is also known as: V2V & vehicle-to-vehicle.

Vehicle-to-vehicle and vehicle-to-roadside multi-hop communications for vehicular sensor networks: Simulations and field trial

Abstract: Using vehicles as sensors for traffic and environment monitoring is a new paradigm that opens the way to worthwhile applications. Data collected on board are usually delivered through the cellular network, with the consequent overloading risk. This paper focuses on the alternative adoption of short range vehicle-to-vehicle (V2V) and vehicle-to-roadside (V2R) communications, with particular reference to the wireless access in vehicular environment (WAVE)/IEEE802.11p technology. Specifically, we propose and validate, through simulations in a urban scenario, a simple but effective routing algorithm to forward data through V2V and V2R communications. The benefits are quantified in terms of the amount of data that can be transmitted without using cellular resources. Furthermore, we present an urban field trial, deployed to test our proposed multi-hop algorithm, through the adoption of low cost hardware and open source software.

Method and system for acquiring and estimating road conditions based on vehicle-to-vehicle communication

Abstract: The invention provides a method and system for acquiring and estimating road conditions based on vehicle-to-vehicle communication. Road condition information of vehicles is acquired through a positioning unit, the road condition information is transmitted to other vehicles through a vehicle-to-vehicle communication unit, road condition information of other vehicles is received, the road condition information is processed through an information processing control unit, road condition congestion degrees are acquired and displayed on an electronic map through different colors, and information sharing between the vehicles can be quickly achieved. The quantity of the acquired road condition information is large, the detailed road congestion condition in a certain region surrounding the vehicles can be acquired, all roads in the region can be covered, consumed time in the whole process is short, road conditions can be updated in real time, and road condition services can be provided for specific persons and positions. Positions and time needing road condition estimation are determined, matched road condition information is acquired from stored road condition information and output, the congestion conditions of the roads at a certain moment can be predicted in advance, and users can conveniently conduct path planning in advance.

Vehicular wireless communication

Abstract: Vehicular wireless communication David N. Cottingham Transportation is vital in everyday life. As a consequence, vehicles are increasingly equipped with onboard computing devices. Moreover, the demand for connectivity to vehicles is growing rapidly, both from business and consumers. Meanwhile, the number of wireless networks available in an average city in the developed world is several thousand. Whilst this theoretically provides near-ubiquitous coverage, the technology type is not homogeneous. This dissertation discusses how the diversity in communication systems can be best used by vehicles. Focussing on road vehicles, it first details the technologies available, the difficulties inherent in the vehicular environment, and how intelligent handover algorithms could enable seamless connectivity. In particular, it identifies the need for a model of the coverage of wireless networks. In order to construct such a model, the use of vehicular sensor networks is proposed. The Sentient Van, a platform for vehicular sensing, is introduced, and details are given of experiments carried out concerning the performance of IEEE 802.11x, specifically for vehicles. Using the Sentient Van, a corpus of 10 million signal strength readings was collected over three years. This data, and further traces, are used in the remainder of the work described, thus distinguishing it in using entirely real world data. Algorithms are adapted from the field of 2-D shape simplification to the problem of processing thousands of signal strength readings. By applying these to the data collected, coverage maps are generated that contain extents. These represent how coverage varies between two locations on a given road. The algorithms are first proven fit for purpose using synthetic data, before being evaluated for accuracy of representation and compactness of output using real data. The problem of how to select the optimal network to connect to is then addressed. The coverage map representation is converted into a multi-planar graph, where the coverage of all available wireless networks is included. This novel representation also includes the ability to hand over between networks, and the penalties so incurred. This allows the benefits of connecting to a given network to be traded off with the cost of handing over to it.

Efficient Data Reporting in Intelligent Transportation Systems

Abstract: Recently, intelligent transportation systems (ITSs) have emerged. These systems can improve traditional transportation systems and provide traffic information to travelers. In the area of transportation, wireless sensor networks (WSNs) can replace the existing wired sensors and expensive traffic monitoring systems to mitigate the time and costs of installing such systems. However, accurate and on-time traffic information delivery is a major challenge, considering the energy constraints of sensor nodes. In this paper, we propose a two-tier architecture that includes a network of mobile objects (vehicles) in the upper layer and a hierarchical WSN in the bottom layer. Using this approach, a portion of loads on the low-power static sensor nodes can be transferred to mobile objects, such as powerful mobile devices. Moreover, to provide accurate and timely traffic information, a QoS-aware link cost function has been proposed and used for data transmission between the static sensor nodes. In addition, due to the mobility of the objects and the probability of losing packets in the mobile object tier, a reliable data forwarding mechanism has been proposed for this tier. In this mechanism, data packets are forwarded to the neighbors, which enhance the probability of the packets’ being received. The performance evaluation results indicate the effectiveness of the proposed architecture and data reporting mechanism for use in ITS applications.

Aggregation of Trustworthy Announcement Messages in Vehicular Ad Hoc Networks

Abstract: Vehicular ad hoc networks (VANETs) allow vehicle- to-vehicle communication and, in particular, vehicle-generated announcements. Vehicles can use such announcements to warn nearby vehicles about road conditions (traffic jams, accidents). Thus, they can greatly increase the safety of driving. However, their trustworthiness must be guaranteed. A new system for vehicle-generated announcements is presented that is secure against external and internal attackers attempting to send fake messages. Internal attacks are thwarted by using an endorse- ment mechanism based on multisignatures. Besides, this scheme ensures that vehicles volunteering to generate and/or endorse trustworthy announcements do not have to sacrifice their privacy. Index Terms—Aggregation, Multisignatures, Privacy, Security, Vehicular communications.